MLX
Safetensors
English
llama
llama-3.2
lora
instruction-tuned
coding
ai-assistant
belweave
kai
local-ai
macbook
4-bit precision
Instructions to use belweave/kai-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use belweave/kai-0 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir kai-0 belweave/kai-0
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
| { | |
| "backend": "tokenizers", | |
| "bos_token": "<|begin_of_text|>", | |
| "clean_up_tokenization_spaces": true, | |
| "eos_token": "<|eot_id|>", | |
| "is_local": true, | |
| "model_input_names": [ | |
| "input_ids", | |
| "attention_mask" | |
| ], | |
| "model_max_length": 131072, | |
| "tokenizer_class": "TokenizersBackend" | |
| } | |